Types of Models

• Linear regression
• ANOVA - up to 3-way interactions
• Dichotomous logistic regression
• Multinomial logistic regression (unordered categories)

General Features

• Point and click selection of dependent and independent variables
• Independent variables - continuous and categorical variables are allowed (class variables can have up to 256 categories)
• Automatic creation of dummy variables
• By variable for subgroup modeling
• Models with or without intercept
• Interactions can be specified among predictors
• Significance of linear combinations of parameters can be tested
• Degrees of freedom can be set for estimated variances

Linear Regression

• Specify a transformation of a source variable as the dependent variable
• Find parameter estimates using weighted least squares algorithm
• Analyze data sets with multiple imputations

Logistic Regression

• Use modified Newton-Raphson iteration procedure to find parameter estimates
• Specify maximum number of iterations
• Set convergence criterion - relative difference of log-likelihood
• Control starting values for parameter estimates
• Define success value for the dependent variable in dichotomous logistic regression
• Define reference category for the dependent variable in multinomial logistic regression
• Compute odds ratios - estimates and confidence intervals

Output

• Model, error, and total sums of squares
• Parameter estimates
• Standardized linear regression coefficients
• Standard error of parameter estimates
• Confidence intervals for parameters
• t tests on individual parameters
• F tests on main effects and interactions
• User-defined tests on linear combinations of parameters
• Score tests for logistic parameters
• p-values for hypothesis tests
• R² values
  • Linear - squared multiple correlation coefficient
  • Logistic - Cox-Snell, entropy, Estrella
• Correlations of parameter estimates
• Covariances of parameter estimates
• Estimates and confidence intervals for odds ratios in dichotomous and multinomial logistic regression
• Fixed decimal or scientific notation, ability to control number of decimal places
• Replicate estimates saved in auxiliary output file
• Iteration history for logistic saved in auxiliary output file